Pregled bibliografske jedinice broj: 472034
Software component quality prediction using KNN and Fuzzy logic
Software component quality prediction using KNN and Fuzzy logic // Proceedings MIPRO 2010, 33rd International Convention on Information and Communication Technology, Electronics and Microelectronics, Vol. II CTI Telecommunications & Information / Stjepan Golubić, Branko Mikac, Vlasta Hudek (ur.).
Zagreb: Denona, 2010. str. 153-159 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 472034 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Software component quality prediction using KNN and Fuzzy logic
Autori
Hribar, Lovre ; Duka, Denis
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings MIPRO 2010, 33rd International Convention on Information and Communication Technology, Electronics and Microelectronics, Vol. II CTI Telecommunications & Information
/ Stjepan Golubić, Branko Mikac, Vlasta Hudek - Zagreb : Denona, 2010, 153-159
ISBN
978-953-233-052-6
Skup
MIPRO 2010
Mjesto i datum
Opatija, Hrvatska, 24.05.2010. - 28.05.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Software quality; prediction techniques; fault free products; Quality of Service; Fuzzy logic; KNN algorithm; probabilistic theory; statistical distribution; Weilbull
Sažetak
Prediction of product quality within software engineering, preventive and corrective actions within the various project phases are constantly improved over the past decades. Practitioners and software companies were using various methods, different approaches and best practices in software development projects. Nevertheless, the issue of quality is pushing software companies to constantly invest in efforts to produce enough quality products that will arrive in time, with good enough quality to the customer. However, the quality is not for free, it has a price that is required at the time you notice about her. In this paper fuzzy logic and KNN classification method approaches are presented to predict Weibull distribution parameters shape, slope and the total number of faults in the system based on the software components individual contribution. Since the Weibull distribution is one of the most widely used probability distributions in the reliability engineering, predicting of its characteristics early in the software lifecycle might be useful input for the planning and control of verification activities.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Fakultet elektrotehnike i računarstva, Zagreb,
Ericsson Nikola Tesla d.d.
